Estimation problems are ubiquitous in control and monitoring of dynamical systems. The most popular approach for the estimation of states is state observers such as the well-known Luenberger observer.
In many applications, an adaptive algorithm is mandatory to account for the complexity of the signal under consideration.
Smart Water systems
Lack of clean freshwater is one of the most pervasive problems afflicting people throughout the world.
There have been an increasing number of studies on using a clean source of energy while reducing the dependency of fossil resources.
The Membrane Bioreactor (MBR) process is studied as an example of a wastewater treatment plant. We first investigate the mathematical modeling for MBR. The Activated Sludge Model (ASM) is used to describe biological processes.
Arterial stiffness is a key factor in several cardiovascular diseases such as, systolic hypertension, stroke, coronary artery disease and heart failure. These diseases are among the major causes of mortality in the world.
One of the main focus is the design of signal processing based feature extraction methods to build machine learning models for biomedical applications: Epileptic spikes detection using MEG/EEG/ECG signals, Hand Gesture detection using sEMG signals.